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context-space

context-space/context-space

Ultimate Context Engineering Infrastructure starting from MCPs and Integrations

GraphCanon updated 3w · GitHub synced 3w

811 stars78 forksLast push 10mo Go AGPL-3.0

Decision brief

Context-Space facilitates the creation of AI context engineering systems via Model Context Protocol in Go.

Good fit when

  • You prioritize using Go for a project that requires integration with MCP to build complex context-aware AI applications.
  • Need a starting point from MCPs and integrations to expedite your AI agent developments.

Avoid when

  • Project demands use of languages other than Go as the core development environment.
  • Looking for a solution that does not involve Model Context Protocol (MCP) framework for context handling.

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Slowing (278d since push)
As of 3w
Provenance
Not a fork · Organization account
As of 3w
Security (OSV)
No MCP manifest
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

go get github.com/context-space/context-space
pkg.go.dev

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A toolset for building AI-based context engineering systems using the Model Context Protocol (MCP) in Go with support for integrations.

Capability facts

Languages
go

Source: github.language · Jul 27, 2026

Categories

Tags

README

Context Space: The First Context Engineering Infrastructure to 10× Your Productivity

English | 中文

Context Space offers unified MCP tools, secure & verified integrations, and a 5-minute setup — perfect for AI agents, automation workflows, and developer tools. As the first context engineering infrastructure, it turns theory into practice by delivering better context and enabling agents to interact effectively with the real world.


Current License: AGPL v3 → Apache 2.0 Transition

Why this approach?

  • Now: AGPL v3 protects during our startup phase
  • Future: Apache 2.0 transition (as community grows) for maximum adoption
  • CLA: Contributors sign our CLA enabling this transition
StakeholderTodayTomorrow
👥 UsersFree production accessBroader ecosystem compatibility
👨‍💻 ContributorsProtected from exploitationMaximum community reach

For agents

This page has a .md twin and JSON over the API.

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